View source for 17916071. USER EQUIPMENT, CORE NETWORK NODE, AND METHODS IN A RADIO COMMUNICATIONS NETWORK simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

=USER EQUIPMENT, CORE NETWORK NODE, AND METHODS IN A RADIO COMMUNICATIONS NETWORK=


==Organization Name==

[[:Category:Telefonaktiebolaget LM Ericsson (publ)|Telefonaktiebolaget LM Ericsson (publ)]]


[[Category:Telefonaktiebolaget LM Ericsson (publ)]]

==Inventor(s)==

[[:Category:Hans Eriksson of Sollentuna (SE)|Hans Eriksson of Sollentuna (SE)]][[Category:Hans Eriksson of Sollentuna (SE)]]

[[:Category:Tushar Sabharwal of New Delhi (IN)|Tushar Sabharwal of New Delhi (IN)]][[Category:Tushar Sabharwal of New Delhi (IN)]]

[[:Category:Rohit Shukla of Noida (IN)|Rohit Shukla of Noida (IN)]][[Category:Rohit Shukla of Noida (IN)]]

[[:Category:Rajiv Bhardwaj of Jalandhar (IN)|Rajiv Bhardwaj of Jalandhar (IN)]][[Category:Rajiv Bhardwaj of Jalandhar (IN)]]

[[:Category:Nipun Sharma of New Delhi (IN)|Nipun Sharma of New Delhi (IN)]][[Category:Nipun Sharma of New Delhi (IN)]]

==USER EQUIPMENT, CORE NETWORK NODE, AND METHODS IN A RADIO COMMUNICATIONS NETWORK - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17916071 titled 'USER EQUIPMENT, CORE NETWORK NODE, AND METHODS IN A RADIO COMMUNICATIONS NETWORK

==Simplified Explanation==

The patent application describes a method performed by a User Equipment (UE) for applying policy enforcement for data traffic in an UL (Uplink) data session in a radio communications network. Here are the key points:

* The UL data session is from the first UE to a data network via a Radio Access Network (RAN), a Core Network (CN), and a first Network Slice (NS).
* The UE obtains first information from a CN node in the CN.
* Upon establishing the UL data session, the UE measures data traffic performance and radio conditions in the RAN.
* The UE predicts available resources for transmitting data from the first UE towards the data network via the RAN, CN, and the first NS.
* The prediction is based on the obtained first information, the measured data traffic performance, and radio conditions in the RAN.
* The UE applies policy enforcement for the data traffic in the UL data session based on the prediction.

== Potential Applications ==
* This technology can be applied in various wireless communication systems, such as 4G LTE and 5G networks.
* It can be used to optimize the performance and efficiency of UL data sessions in mobile networks.
* The method can be implemented in UE devices to enhance the overall user experience and network resource utilization.

== Problems Solved ==
* The method addresses the challenge of efficiently managing UL data traffic in a radio communications network.
* It solves the problem of limited resources and varying radio conditions in the RAN, which can affect the performance of UL data sessions.
* The method enables the UE to predict available resources and apply policy enforcement to ensure optimal data transmission towards the data network.

== Benefits ==
* By predicting available resources and applying policy enforcement, the method improves the reliability and efficiency of UL data sessions.
* It allows for better utilization of network resources, leading to improved overall network performance.
* The method enhances the user experience by optimizing UL data transmission and reducing delays or disruptions.


==Original Abstract Submitted==

A method performed by first User Equipment (UE) for applying policy enforcement for data traffic in an UL data session is provided. The UL data session is from the first UE to a data network via a Radio Access Network (RAN) a Core Network (CN) and a first Network Slice (NS) in a radio communications network. The UE obtains first information from a CN node in the CN. Upon establishing the UL data session, the UE measures data traffic performance and radio conditions in the RAN. The UE predicts available resources for transmitting data from the first UE towards the data network via the RAN, the CN, and the first NS. The prediction is based on the obtained first information, the measured data traffic performance and radio conditions in the RAN. The UE then applies policy enforcement for the data traffic in the UL data session based on the prediction.



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